Triple

T34000678
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Blakeney E871806 entity
Predicate laterCitizenshipStatus P8495 FINISHED
Object naturalized English aristocrat (by marriage) LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: naturalized English aristocrat (by marriage) | Statement: [Marguerite Blakeney, laterCitizenshipStatus, naturalized English aristocrat (by marriage)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterCitizenshipStatus
Context triple: [Marguerite Blakeney, laterCitizenshipStatus, naturalized English aristocrat (by marriage)]
  • A. laterCitizenship chosen
    Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
  • B. mayHoldCitizenshipOf
    Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
  • C. acquireCitizenshipBy
    Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
  • D. dualCitizenshipStatus
    Indicates that an entity holds legal citizenship in two different countries simultaneously.
  • E. formerCitizenship
    Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3499f8cbc81908de6ec89fa91ea8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a00144238708190acbec3f791cc873e completed May 10, 2026, 5:14 a.m.
PD Predicate disambiguation batch_6a00120244a4819090ef39070aba9d99 completed May 10, 2026, 5:05 a.m.
Created at: May 1, 2026, 1:50 a.m.